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Record W2907193858 · doi:10.5376/mpb.2019.10.0001

Expression Analysis of <i>CBL1</i> and <i>CBL6</i> Genes in Sugarcane under Abiotic Stress

2019· article· en· W2907193858 on OpenAlexvenueno aff
Qiuping Ling, Qiaoying Zeng, Jiayun Wu, Fei Hu, Qiwei Li, Yongwen Qi

Bibliographic record

VenueMolecular Plant Breeding · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyAbiotic stressGeneAbiotic componentGene expressionGeneticsBotanyEcology

Abstract

fetched live from OpenAlex

CBLs (Calcineurin B-like proteins) is a type of special calcium sensors in plants, which plays an important role in response to stress. We derived SsCBL1 and SsCBL6 genes in sugarcane from NCBI databases. SsCBL1 gene contained a complete open reading frame of 642 bp, encoding a protein with 213 amino acids. SsCBL6 gene contained a complete open reading frame of 672 bp, encoding a protein with 223 amino acids. The structure of SsCBL1 and SsCBL6 encoding protein was analyzed by bioinformatics methods. The results showed that both of them had no transmembrane segment but contained four EF-hand domains. The phylogenetic tree analysis indicated that SsCBL1 and SsCBL6 were closely related to CBL1 and CBL6 in other plants, which were highly conservative. The results of real-time quantitative PCR demonstrated that the expression of two genes changed under low nitrogen, low phosphorus, low potassium, drought, salt and ABA stress, respectively. The expression was strongly induced by drought and salt treatments for SsCBL1 , while the expression of SsCBL6 was strongly induced by low potassium, drought and salt treatment. Real-time quantitative analysis suggested that SsCBL1 and SsCBL6 might play important regulatory roles under various stresses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.217
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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